A probe-vehicle traffic information system for and method of gathering traffic data utilizing a host probe vehicle having onboard exterior sensors. The host vehicle is configured to detect at least one condition from at least one traveling target vehicle, aggregate and process the condition data, and report only the processed data to a traffic information center, so as to reduce the number of simultaneous communication channels typically required to report condition data from a plurality of probe vehicles.
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1. A traffic information system adapted for use by a mobile probe device spaced from a plurality of remotely traveling vehicles, and for updating at least one traffic condition and transmitting the traffic condition to at least one receiving entity, said system comprising:
a traffic information center configured to store a first value of the traffic condition; and
at least one mobile probe device communicatively coupled to the center, including at least one exterior sensor configured to concurrently detect remote vehicle conditions for each of said plurality of remotely traveling vehicles including the current time, location, speed, and heading of each of said plurality of remote vehicles, configured to determine at the device a probed value of the traffic condition based in part on the detected remote vehicle conditions, and transmit the probed value to the center, wherein the probed value is based on the average speed of remote vehicles having generally congruent headings;
said center being communicatively coupled to said at least one probe device and said at least one receiving entity, and further configured to modify the first value of the traffic condition upon receipt of the probed value from said at least one probe device, and transmit the modified first value to said at least one receiving entity.
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The present invention relates to systems for and methods of collecting traffic data using probe vehicles, and more particularly, to a traffic information system configured to collect traffic data using probe vehicles having onboard exterior sensors.
Traffic information and management systems have been developed, wherein vehicles are used as probes for measuring traffic conditions in real-time. In these configurations, individual vehicles provide “floating car data,” such as, for example, the current time, speed, position, and heading of the probe vehicle, which can then be used to estimate travel time or traffic speed. These data are typically used as an online indicator of road network status, as a basis for detecting incidents, or as input for a dynamic route guidance system.
These systems generally include a traffic information center (TIC); a plurality of probe vehicles; technology for determining the location of each vehicle, such as, for example, the Global Positioning System (GPS), a system using cellular telephones, or a system using radio-frequency identification (RFID); and wireless communication means for allowing bilateral communication between the probe vehicles and the TIC. The TIC (or receiving center) receives and processes the data generated by the probe vehicles to determine a desired outcome or condition, and returns the result to a plurality of receiving vehicles that may further include partially implemented non-probe vehicles.
Conventional probe-vehicle systems, however, present various scalability concerns resulting from independent vehicle interaction with the center. Often, an exceedingly large number of probe vehicles redundantly communicate with the receiving center in order to provide a relatively small amount of useful data. For example, where a plurality of probe vehicles are located within a traffic jam, each vehicle may independently communicate with the center to redundantly alert the system to the presence of the traffic jam. Similarly, independent interaction can result in the omission of traffic conditions that do not involve probe vehicles; as is the case, for example, where the probe vehicles are spaced from the traffic jam and fail to communicate its presence to the center.
Another scalability concern is presented by the exceedingly large number of communication channels, one for each independently operating probe vehicle, that is needed to accommodate the frequent data communications. Finally, the large volume of incoming data that must be processed in real-time requires that there be substantial and constantly increasing capacity at the center.
These concerns, among others, result in the need for a more efficiently operating traffic information system that reduces communication volume, and thereby, reduces the required capacity of the system.
Responsive to these and other concerns presented by conventional probe vehicle systems, the present invention concerns an improved traffic information system that utilizes at least one host probe vehicle configured to sense and aggregate a plurality of remote target vehicle condition values, and transmit a single cooperatively determined value to a traffic information center. Among other things, the system is useful for reducing the number of simultaneous communication channels required to report the same information to the receiving center using a plurality of independently communicating probe vehicles. The system is further useful for reducing the amount of data which must be processed in real-time at the center. Finally, the transmission of an aggregate value of a condition instead of a single probe vehicle value, further results in increased privacy.
A first aspect of the invention presents a traffic information system adapted for use by a probe device spaced from at least one remotely traveling vehicle, and for updating at least one traffic condition and transmitting the traffic condition to at least one receiving entity. The system includes a traffic information center configured to store a first value of the traffic condition, and at least one probe device communicatively coupled to the center. The probe device includes at least one exterior sensor operable to detect a first remote vehicle condition, and is configured to determine a probed value of the traffic condition. The probed value is determined in part by the detected remote vehicle condition. The center is further configured to modify the first value of the traffic condition upon receipt of the probed value from said at least one probe device, and transmit the modified first value to said at least one receiving vehicle.
A second aspect of the invention further includes a pre-determined minimum detected vehicle threshold, wherein the probe device is further configured to transmit the probed value to the center only when the number of detected remote vehicles is at least equal to the threshold.
Thus, it will be appreciated and understood that the system and method of the present invention provide a number of improvements and advantages over the prior art, including for example, reducing the number of simultaneous communication channels required to report probe vehicle data to the receiving center and reducing the amount of such data which must be processed in real-time at the receiving center.
These and other features of the present invention are discussed in greater detail in the section below titled DESCRIPTION OF THE PREFERRED EMBODIMENT(S).
Preferred embodiments of the invention are described in detail below with reference to the attached drawing figures, wherein:
As described and illustrated herein, the present invention concerns an improved traffic information system 10 adapted for use by an automotive vehicle 12 traveling upon a thoroughfare or link. However, it is within the ambit of this invention to utilize the novel aspects and features in other suitable traffic information systems, wherein useful information can be derived from surrounding traffic, such as air traffic control or nautical navigation systems. The novel aspects and function of the invention are preferably adapted for electronic execution by a microcontroller and, therefore, may be embodied within one or more modules of computer program code.
As shown in
The probe vehicle 12 is, more particularly, configured to collect traffic data from a zone 22 immediately adjacent the exterior of the vehicle 12. The probe vehicle 12 includes at least one onboard surround-sensing (i.e. exterior) sensor operable to detect at least one condition of each target vehicle 18 located within the zone 22. More preferably, a plurality of medium, long and short-range sensors are oriented and positioned about the vehicle 12, so as to cooperatively provide 360° of detection capabilities and a zone 22 that generally circumscribes the exterior of the vehicle 12. For example, as shown in
With respect to land vehicles, it is appreciated that these sensors may include charged-coupled device (CCD) or complementary metal oxide semi-conductor (CMOS) video image sensors, long and medium range radar and lidar sensors, and ultrasonic sensors. It is appreciated that these sensors may provide dual functionality in conjunction with an active safety system, such as a Forward Collision Warning, Adaptive Cruise Control, or Lane Change Merge application. As such, the preferred system 10 is further adapted for use with and to be implemented by a vehicle having an existing active safety system.
It is also appreciated by those ordinarily skilled in the art that the characteristics of these sensors are complementary, in that some are more reliable in estimating certain parameters than others. In other words, the sensors have different operating ranges and angular coverages, and are capable of estimating different parameters within their operating range. For example, radar sensors can usually estimate range, range rate and azimuth location of an object, but is not normally robust in estimating the extent of a detected object. A camera with vision processor is more robust in estimating the shape and azimuth position of the object, but is less efficient at estimating the range and range rate of the object. Scanning type Lidars perform efficiently and accurately with respect to estimating range, and azimuth position, but cannot estimate range rate, and is therefore not accurate with respect to new object acquisition/recognition. Finally, ultrasonic sensors are capable of estimating range but are generally incapable of estimating or computing range rate and azimuth position. Further, it is appreciated that the performance of each sensor technology is impacted by differing environmental conditions. Thus, as further shown in
In a preferred embodiment, the sensors 24-32, their respective sensor processors 34 (shown singularly in
The preferred controller 36 is housed within the host probe vehicle 12, but may also be located at a remote location (not shown). In this regard, the controller 36 is electrically coupled to the sensor processors 34, but may also be wirelessly coupled through RF, LAN, Infrared or other conventional wireless technology.
At the controller 36, the target vehicle data and probe vehicle data are aggregated and processed, prior to reporting to the center 14. More particularly, once sensory data are collected and the range, range rate, speed and azimuth angle (i.e. heading) of each tracked target vehicle 18 are determined, the controller 36 is further configured to determine a probed value of a desired condition, based on the probe vehicle and target vehicles values of the condition. For example, the controller 36 may be configured to determine the average speed of the target and probe vehicles 12,18, track this average over a period as the probe vehicle 12 travels upon the link, and transmit the average speed to the center 14, so as to essentially convert each target vehicle 18 into a probe vehicle.
More preferably, the controller 36 is further configured to categorize the target vehicles into lanes of remote vehicles 18 having generally congruent headings, and transmit lane specific data, such as average lane speed. Conventional methods of triangulation, and other suitable means can be utilized by those ordinarily skilled in the art to determine remote vehicle locations and headings. To that end, the preferred probe vehicle 12 further includes a locator device 38 configured to determine the location of at least the probe vehicle 12 upon a three-coordinate system. The preferred controller 36 may be further configured to consider the remote vehicle condition only when the remote vehicle condition exceeds a predetermined remote vehicle condition threshold. For example, so as to avoid consideration of stationary road-side objects, the controller 36 may be configured to consider a remote vehicle only if its absolute speed exceeds 5 mph.
As shown in
The preferred probe vehicle 12 further includes at least one intra-vehicle sensor 44 operable to detect at least one probe vehicle condition, such as the probe vehicle speed, acceleration rate, lateral acceleration rate, or yaw rate. For example, a wheel speed or engine rpm sensor may be utilized.
Lastly, the probe vehicle 12 includes a communication processor 46 that enables communication with the center 14. The communication processor 46 is provided with a pre-defined message protocol for accomplishing these and other functions relating to operation of the present invention. Implementation of the data processor 34 and communication processor 46, and particularly the message protocol, can involve substantially conventional techniques and is therefore within the ability of one with ordinary skill in the art without requiring undue experimentation. Suitable transmission technology for this purpose includes cellular phone transmissions, FM/XM frequencies, and local and national wireless networks, such as the Internet. Where at least one intermediary amplification or repetitive device (or station) 48 is incorporated as shown in
Thus, as shown in
More preferably, so as to minimize the probability of error caused by noncongruency of target vehicle engagement from one probe vehicle to another, the method, more preferably, includes an intermediate step 103, wherein probe vehicles that do not engage a minimum number of target vehicles are eliminated from consideration. More particularly, as shown in
It is also appreciated that n is inversely proportional to the probability of error in determining the actual average link speed. In an exemplary sampling, this relationship resulted in a non-linear progression, wherein 90% accuracy (within 3 m/s) was achieved when 3 or more target vehicles were detected (see,
Alternatively, or in addition to the minimum target threshold, discrepancy in target vehicle detection may be accommodated by attributing a weighted factor to each probed value based on the value of n. Thus, as shown in
The preferred forms of the invention described above are to be used as illustration only, and should not be utilized in a limiting sense in interpreting the scope of the present invention. Obvious modifications to the exemplary embodiments and methods of operation, as set forth herein, could be readily made by those skilled in the art without departing from the spirit of the present invention. The inventors hereby state their intent to rely on the Doctrine of Equivalents to determine and assess the reasonably fair scope of the present invention as pertains to any system or method not materially departing from but outside the literal scope of the invention as set forth in the following claims.
Ferman, Martin A., Krishnan, Hariharan, Parikh, Jayendra S.
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